Genetic Explication of Impaired Insulin Resistance in Genesis of Metabolic Diseases
Soomro, N. I.; Bakhtiar, S. M.
Show abstract
This study aims to investigate the role of impaired insulin resistance in the onset and progression of metabolic diseases such as prediabetes, diabetes, and cardiovascular diseases. Insulin resistance occurs when insulin is unable to effectively stimulate glucose uptake, and if the body is unable to produce sufficient insulin to compensate, type 2 diabetes may develop. This research endeavors to elucidate the molecular and genetic underpinnings of insulin resistance and its association with metabolic disorders. Employing various tools and databases, gene interaction data was procured through GeneMania, and pathway validation was conducted using KEGG. Construction of gene regulatory networks employed GEPHI 0.9.2, with centralities statistical analysis identifying hub genes. Enrichment analysis and literature validation substantiated the significance of these hubs, resulting in the refinement of the initially identified seven genes to five with interaction data. The implicated hub genes were discerned to play roles in inflammation, either directly or indirectly. Future prospects involve further genetic analysis across diverse populations, utilizing PCR to discern the allelic variations of these identified hub genes. Ultimately, this research may shed light on the underlying genetic and molecular mechanisms of insulin resistance and metabolic syndrome, and contribute to the development of targeted treatments for these conditions.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Association of METS-IR Index with Type 2 Diabetes: A Cross-sectional Analysis of National Health and Nutrition Examination Survey Data from 2009 to 2018 96%
- PID1 alters antilipolytic action of insulin and increases lipolysis via Inhibited the activation of AKT/PKA Pathway 96%
- The Gene Knockout of Angiotensin II Type 1a Receptor Improves High-fat Diet-Induced Obesity in rat via Promoting Adipose Lipolysis 96%
Similar papers in this journal
- Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus 96%
- Identification and verification of 3 key genes associated with survival and prognosis of patients with colon adenocarcinoma via integrated bioinformatics analysis 94%
- Testosterone improves muscle function of the extensor digitorum longus in rats with sepsis 93%
Similar papers in this journal
- Analysis of Pan-Omics Data in Human Interactome Network (APODHIN) 92%
- Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma using Large-scale Transcriptomics Data 92%
- Hypoxia induced sex-difference in zebrafish brain proteome profile reveals the crucial role of H3K9me3 in recovery from acute hypoxia 92%
Similar papers in this journal
- Assessment of Gut Microbial β-Glucuronidase and β-Glucosidase Activity in Women with Polycystic Ovary Syndrome 94%
- Genome-wide Polygenic Risk Score for Type 2 Diabetes in Indian Population 93%
- Computational Analysis of Insulin-Glucagon Signalling Network: Implications of Bistability in Metabolic Homeostasis and Disease states 93%
Similar papers in this journal
- Gene expression profiling of skeletal muscles 94%
- Integrating Bioinformatics and Artificial Intelligence Methods to identify disruptive STAT1 variants impacting Protein Stability and Function 94%
- Structural variability, expression profile and pharmacogenetics properties of TMPRSS2 gene as a potential target for COVID-19 therapy 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.